conormm

from keras.datasets import mnist
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.utils import np_utils
import numpy as np

l1_nodes = 200
l2_nodes = 100
final_layer_nodes = 10

HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

prof3ssorSt3v3

//Self-Signed Certificate for using with VS Code Live Server

//Save both files in a location you will remember

1. create a private key
openssl genrsa -aes256 -out localhost.key 2048
// you will be prompted to provide a password
//this will create localhost.key (call it whatever you like)

2. create the certificate